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A Log-Based Step-Size Adaptation Technique for Fast and Robust Maximum Power Point Tracking Method for Solar PV Grid Tied System

机译:基于对数的步长自适应技术用于太阳能光伏并网系统的快速鲁棒最大功率点跟踪方法

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Maximum power point tracking (MPPT) method is essential for solar photovoltaic (SPV) of smart gird systems. For the sake of improving the speed of tracking, maintaining stability, and concluding the prospect of miscalculation of increasing or decreasing the photovoltaic voltage, a new individual time-adjusting stepsize adaptation technique for MPPT control method is proposed in this paper. The objective of the proposed technique is to predict the power of PV system instead of utilizing the current estimated power to achieve a better performance than conventional MPPT algorithm. The prediction is based on the previously estimated values of the PV voltage, and a time-varying stepsize that adjusts according to the log-function of the individual estimated PV voltage. The proposed technique delivers a fast convergence and has a quick response to environment changes such as irradiance and temperature. Simulation results show the outperformance of the proposed technique in terms of providing a rapid tracking to maximum power point, achieving less steady-state error, and operating steadily under rapidly changing of atmospheric conditions compared with conventional MPPT algorithm.
机译:最大功率点跟踪(MPPT)方法对于智能电网系统的太阳能光伏(SPV)至关重要。为了提高跟踪速度,保持稳定性,并得出增加或降低光伏电压的误算的前景,提出了一种新的用于MPPT控制方法的单独的时间调整步长自适应技术。所提出的技术的目的是预测光伏系统的功率,而不是利用当前的估计功率来获得比常规MPPT算法更好的性能。该预测基于PV电压的先前估计值,并且随时间变化的步长会根据各个估计的PV电压的对数函数进行调整。所提出的技术提供了快速收敛性,并且对诸如辐照度和温度的环境变化具有快速响应。仿真结果表明,与常规MPPT算法相比,该技术在提供对最大功率点的快速跟踪,实现较小的稳态误差以及在快速变化的大气条件下稳定运行方面表现出众。

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